ZipRecruiter

Log In

1

Amazon Data Science Jobs in Delaware (NOW HIRING)

University of Delaware

Manager, Data Science

Newark, DE · On-site

Manager, Data Science Job no: 503286 College / VP Area: VP Finance & Deputy Treasurer Work type ... Design, implement, and evaluate scalable data models using SQL on Amazon Redshift, and collaborate ...

Stefanini Group

Cloud Security Engineer

Dover, DE · On-site

... Google, Amazon, and Microsoft. * This includes in-depth knowledge of each provider's security ... Data Security: * The candidate must demonstrate an understanding of data classification standards ...

Stefanini Group

Cloud Security Engineer

Dover, DE · On-site

... Google, Amazon, and Microsoft. * This includes in-depth knowledge of each provider's security ... Data Security: * The candidate must demonstrate an understanding of data classification standards ...

Stefanini

Cloud Security Engineer

Dover, DE · On-site

... Google, Amazon, and Microsoft. This includes in-depth knowledge of each provider's security ... Data Security: The candidate must demonstrate an understanding of data classification standards and ...

Stefanini Group

Cloud Security Engineer

Dover, DE · On-site

... Google, Amazon, and Microsoft. * This includes in-depth knowledge of each provider's security ... Data Security: * The candidate must demonstrate an understanding of data classification standards ...

next page

Showing results 1-20

All JobsAmazon Data Science JobsAmazon Data Science Jobs in Delaware

Amazon Data Science information

See Delaware salary details

$46K

$165.2K

$243.7K

How much do amazon data science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for amazon data science in Delaware is $165,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,600.00 and $170,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon Data Science position, and why are they important?

To thrive as an Amazon Data Science professional, you need strong analytical abilities, expertise in statistics and machine learning, and a solid educational background in computer science, mathematics, or a related field. Proficiency in programming languages such as Python or R, familiarity with big data tools like AWS, Spark, or Hadoop, and relevant certifications (e.g., AWS Certified Data Analytics) are often required. Effective communication, business acumen, and collaborative problem-solving set exceptional candidates apart. These skills are crucial for transforming complex data into actionable insights that drive impactful business decisions at Amazon.

What types of projects and challenges can I expect as an Amazon Data Science team member?

As an Amazon Data Science team member, you can expect to work on projects ranging from optimizing supply chains and recommendation systems to improving customer experiences and forecasting demand. Daily responsibilities often involve analyzing large data sets, building predictive models, and collaborating closely with product managers, software engineers, and business leaders. The pace is fast, with opportunities to tackle complex problems that have a direct impact on Amazon’s customers and operations. You’ll also have the chance to grow your skills through cross-team projects, participation in internal workshops, and exposure to emerging data science technologies.

Does Amazon hire data scientists?

Yes, Amazon hires data scientists to analyze large datasets, develop machine learning models, and support business decision-making. Candidates typically need strong skills in statistics, programming, and tools like Python or R, along with relevant experience or education in data science or related fields.

Can data scientists make $300k?

Data scientists at companies like Amazon can potentially earn $300,000 or more annually, especially with seniority, extensive experience, advanced skills in machine learning, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, which can significantly increase total earnings.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at 40 or older. Success in data science depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding machine learning concepts. Many professionals transition into data science later in their careers and find opportunities based on their expertise and problem-solving abilities.

What is an Amazon Data Science job?

An Amazon Data Science job involves leveraging data to drive business decisions, optimize operations, and enhance customer experiences. Data scientists at Amazon work with machine learning, statistical modeling, and big data technologies to analyze vast datasets and generate actionable insights. They collaborate with engineering, product, and business teams to develop data-driven solutions for challenges such as recommendation systems, demand forecasting, and fraud detection. Strong programming skills in Python or Scala, expertise in SQL, and experience with AWS tools are commonly required.

How much does a Data Scientist make at Amazon?

The average salary for a Data Scientist at Amazon is around $120,000 to $150,000 per year, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with more senior roles earning higher salaries. Skills in machine learning, data analysis, and proficiency with tools like Python and SQL are often required.
What are the most commonly searched types of Amazon Data Science jobs in Delaware? The most popular types of Amazon Data Science jobs in Delaware are:
Amazon Data Science jobs near you
Infographic showing various Amazon Data Science job openings in Delaware as of July 2026, with employment types broken down into 1% Locum Tenens, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $165,160 per year, or $79.4 per hour.
Manager, Data Science

Manager, Data Science

University of Delaware

Newark, DE • On-site

Full-time

Re-posted 2 days ago

University Of Delaware rating

5.7

Company rating: 5.7 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

520th of 553 rated colleges and universities

Job description

Manager, Data Science
Job no: 503286
College / VP Area: VP Finance & Deputy Treasurer
Work type: Staff
Location: Newark, DE
Categories: Institutional Research & Planning, Full Time
Curious about the full value of working at UD? In addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package.
Under the direction of the Senior Director of Institutional Research and Data Science, the Manager supports the development and implementation of a campus-wide data science program directed at meeting the management and information needs of academic and administrative units across campus.
Duties include:
Supervision & Leadership: Supervise a team, oversee work plans and assign tasks to Analysts regarding the development of data tables and statistical models, and perform detailed code reviews of SQL and data workflows authored by data scientists;
Advanced Statistical Modeling & AI: Serve as the institution's expert for statistical modeling (including Bayesian, frequentist, data mining, artificial intelligence, and machine learning), and design, develop, and validate predictive statistical models, specifically for student enrollment management and institutional forecasting;
Data Architecture & Engineering: Design, implement, and evaluate scalable data models using SQL on Amazon Redshift, and collaborate with Data Engineering and ETL teams to modernize the enterprise data reporting platform; and
Strategic Planning & Analysis: Act as the lead person in developing analysis supporting University business practices, build novel data views to facilitate measurement of institutional progress, and meet with functional users (Deans, Directors, Officers) to determine business practices that drive standard production reports.
Additional duties include:
Data Integration & Quality: Oversee the integration of data from external national databases (IPEDS, Common Data Set) and internal systems (Student, Finance, HR), and ensure data accuracy and consistency with production systems;
Reporting & Dashboards: Contribute to Tableau dashboard development for internal and external reporting and provide accurate data sources to assist the Institutional Research team in developing standard reports; and
Ad Hoc Request Management: Respond to complex ad hoc requests for information from senior academic administrators and faculty; provide user assistance and maintain technical documentation.
Requires a Bachelor's degree in Statistics, Data Science, Information Technology, or a related field and 5 years of experience with data governance in a higher education context. Experience must include working with Tableau, SQL, IPEDS/Common Data Set Standards, Amazon Redshift, and Oracle PeopleSoft. Limited telework permitted: must be on-site one day per week.
Notice of Non-Discrimination and Equal Opportunity
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.
Applications close:
Whatsapp Facebook LinkedIn Email App

What University Of Delaware employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply